Nonlinear System Identification by Haar Wavelets: 210 (Lecture Notes in Statistics) - Tapa blanda
Libro 54 de 72: Lecture Notes in Statistics
Sinopsis
In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties.
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Acerca del autor
Dr. Przemysław Śliwiński is an assistant professor at the Wrocław University of Technology, where he received his master’s degree in 1996 and his PhD in 2000. For his master’s degree he developed an integrated development environment with a software emulator of a micro-controller. His PhD dissertation addressed the problems of nonlinear system identification using linear wavelet estimation algorithms.
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In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties.
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Sliwinski:Nonlinear System Identificati (eng)
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Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: e782ec302617f43e8a372e6e2965e0c3
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Nonlinear System Identification by Haar Wavelets
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10: 3642293956
ISBN 13: 9783642293955
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties. 152 pp. Englisch. Nº de ref. del artículo: 9783642293955
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Nonlinear System Identification by Haar Wavelets
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Springer Berlin Heidelberg, 2012
ISBN 10: 3642293956
ISBN 13: 9783642293955
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides nonparametric algorithms based on standard and unbalanced Haar basesDemonstrates applicability of nonlinear approximation schemes to nonlinear system identificationOffers fast identification routinesDr. Przemyslaw Sliwinski. Nº de ref. del artículo: 5055888
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Nonlinear System Identification by Haar Wavelets
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Springer, Springer Gabler Okt 2012, 2012
ISBN 10: 3642293956
ISBN 13: 9783642293955
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿In order to precisely model real-life systemsor man-made devices, both nonlinear and dynamicpropertiesneed to be taken into account. The generic, black-box model based on Volterra and Wiener series iscapable of representingfairlycomplicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties. ¿ ¿Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch. Nº de ref. del artículo: 9783642293955
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Nonlinear System Identification by Haar Wavelets
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Springer, Springer Gabler, 2012
ISBN 10: 3642293956
ISBN 13: 9783642293955
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity. One of the alternatives offering fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book provides nonparametric identification algorithms designed for such systems together with the description of their asymptotic and computational properties. Nº de ref. del artículo: 9783642293955
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Nonlinear System Identification by Haar Wavelets
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Taschenbuch. Condición: Neu. Nonlinear System Identification by Haar Wavelets | Przemys¿aw Sliwinski | Taschenbuch | xi | Englisch | 2012 | Springer | EAN 9783642293955 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 106447440
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